Qinyu Sun

741 total citations
30 papers, 561 citations indexed

About

Qinyu Sun is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Social Psychology. According to data from OpenAlex, Qinyu Sun has authored 30 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Automotive Engineering, 13 papers in Safety, Risk, Reliability and Quality and 12 papers in Social Psychology. Recurrent topics in Qinyu Sun's work include Autonomous Vehicle Technology and Safety (18 papers), Traffic and Road Safety (13 papers) and Human-Automation Interaction and Safety (12 papers). Qinyu Sun is often cited by papers focused on Autonomous Vehicle Technology and Safety (18 papers), Traffic and Road Safety (13 papers) and Human-Automation Interaction and Safety (12 papers). Qinyu Sun collaborates with scholars based in China and Canada. Qinyu Sun's co-authors include Chang Wang, Rui Fu, Zhen Li, Rui Fu, Yingshi Guo, Hongjia Zhang, Yingshi Guo, Chang Wang, Wei Yuan and Zhen Li and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Qinyu Sun

28 papers receiving 522 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qinyu Sun China 15 308 196 191 133 113 30 561
Zejian Deng Canada 13 386 1.3× 224 1.1× 112 0.6× 95 0.7× 71 0.6× 33 560
Bo Cheng China 14 299 1.0× 199 1.0× 214 1.1× 152 1.1× 107 0.9× 31 662
Fabio Tango Italy 11 387 1.3× 175 0.9× 174 0.9× 229 1.7× 65 0.6× 42 668
Tomohiro Yamamura Japan 9 322 1.0× 193 1.0× 156 0.8× 230 1.7× 66 0.6× 22 558
Xunjia Zheng China 8 355 1.2× 224 1.1× 203 1.1× 96 0.7× 99 0.9× 27 505
Nobuyuki Kuge Japan 9 319 1.0× 186 0.9× 167 0.9× 224 1.7× 67 0.6× 16 537
Heye Huang China 11 301 1.0× 154 0.8× 138 0.7× 76 0.6× 79 0.7× 39 448
Xiaolin Song China 17 578 1.9× 423 2.2× 164 0.9× 202 1.5× 63 0.6× 70 1.0k

Countries citing papers authored by Qinyu Sun

Since Specialization
Citations

This map shows the geographic impact of Qinyu Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qinyu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinyu Sun more than expected).

Fields of papers citing papers by Qinyu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qinyu Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qinyu Sun. The network helps show where Qinyu Sun may publish in the future.

Co-authorship network of co-authors of Qinyu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Qinyu Sun. A scholar is included among the top collaborators of Qinyu Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qinyu Sun. Qinyu Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Qinyu, et al.. (2025). Driver's trust assessment based on situational awareness under human-machine collaboration driving. Engineering Applications of Artificial Intelligence. 145. 110243–110243. 5 indexed citations
2.
Fu, Rui, et al.. (2025). Toward Human-Vehicle Collaboration for Automated Vehicles: A Review and Perspective. IEEE Transactions on Intelligent Transportation Systems. 26(5). 5649–5673. 4 indexed citations
3.
Fu, Rui, et al.. (2024). State estimation of buses: A hybrid algorithm of deep neural network and unscented Kalman filter considering mass identification. Mechanical Systems and Signal Processing. 213. 111368–111368. 9 indexed citations
4.
Sun, Qinyu, et al.. (2024). A Model Predictive Control-Based Electronic Differential Control Strategy for Distributed-Drive Buses Considering the Reduction of Tire Wear. IEEE/ASME Transactions on Mechatronics. 30(3). 2050–2061. 1 indexed citations
5.
Fu, Rui, et al.. (2024). Long and short-term characteristics of motion sickness: a test track investigation in a passenger car. Cognition Technology & Work. 26(2). 313–324.
6.
Fu, Rui, et al.. (2024). Driver lane change intention prediction based on topological graph constructed by driver behaviors and traffic context for human-machine co-driving system. Transportation Research Part C Emerging Technologies. 160. 104497–104497. 12 indexed citations
7.
Sun, Qinyu, et al.. (2024). Research on two stage obstacle-avoidance trajectory planning and trajectory tracking control in curves. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 239(7). 2472–2489.
8.
Ma, Li, Yingshi Guo, Rui Fu, & Qinyu Sun. (2023). Passenger non-driving related tasks detection using a light weight neural network based on human prior knowledge and soft-hard feature constraints. Expert Systems with Applications. 219. 119631–119631. 4 indexed citations
9.
Fu, Rui, et al.. (2022). Driver’s mobile phone usage detection using guided learning based on attention features and prior knowledge. Expert Systems with Applications. 206. 117877–117877. 7 indexed citations
10.
Fu, Rui, et al.. (2022). Real-Time Driver Behavior Detection Based on Deep Deformable Inverted Residual Network With an Attention Mechanism for Human-Vehicle Co-Driving System. IEEE Transactions on Vehicular Technology. 71(12). 12475–12488. 17 indexed citations
11.
Fu, Rui, et al.. (2022). A multimodal deep neural network for prediction of the driver’s focus of attention based on anthropomorphic attention mechanism and prior knowledge. Expert Systems with Applications. 214. 119157–119157. 14 indexed citations
12.
Sun, Qinyu, et al.. (2021). Vehicle Trajectory-planning and Trajectory-tracking Control in Human-autonomous Collaboration System. Zhongguo gonglu xuebao. 34(9). 146. 2 indexed citations
13.
Guo, Yingshi, et al.. (2021). Driver lane change intention recognition in the connected environment. Physica A Statistical Mechanics and its Applications. 575. 126057–126057. 49 indexed citations
14.
Sun, Qinyu, Chang Wang, Yingshi Guo, Wei Yuan, & Rui Fu. (2020). Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments. Sensors. 20(16). 4426–4426. 15 indexed citations
15.
Zhang, Hongjia, Yanjuan Liu, Chang Wang, et al.. (2020). Research on a Pedestrian Crossing Intention Recognition Model Based on Natural Observation Data. Sensors. 20(6). 1776–1776. 24 indexed citations
16.
17.
Fu, Rui, Zhen Li, Qinyu Sun, & Chang Wang. (2019). Human-like car-following model for autonomous vehicles considering the cut-in behavior of other vehicles in mixed traffic. Accident Analysis & Prevention. 132. 105260–105260. 60 indexed citations
18.
Wang, Chang, Qinyu Sun, Yingshi Guo, Rui Fu, & Wei Yuan. (2019). Improving the User Acceptability of Advanced Driver Assistance Systems Based on Different Driving Styles: A Case Study of Lane Change Warning Systems. IEEE Transactions on Intelligent Transportation Systems. 21(10). 4196–4208. 40 indexed citations
19.
Sun, Qinyu, Hongjia Zhang, Zhen Li, Chang Wang, & Kang Du. (2019). ADAS Acceptability Improvement Based on Self-Learning of Individual Driving Characteristics: A Case Study of Lane Change Warning System. IEEE Access. 7. 81370–81381. 20 indexed citations
20.
Wang, Chang, Qinyu Sun, Rui Fu, Zhen Li, & Qiong Zhang. (2018). Lane change warning threshold based on driver perception characteristics. Accident Analysis & Prevention. 117. 164–174. 35 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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